2008
DOI: 10.2304/eerj.2008.7.1.1
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Abstract: Large-scale survey studies of educational achievement are becoming increasingly frequent, and they are visibly present in both educational policy debates and within the educational research community. One main aim of these studies is to provide descriptions of inputs, processes and outcomes, and another aim is to provide explanations of how different factors interrelate to produce educational outcomes. These aims are difficult to reach, which in combination with the fact that the comparative studies are typica… Show more

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Cited by 70 publications
(32 citation statements)
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“…Međunarodni program procene učeničkih postignuća PISA (Programme for International Student Assessment) je u ovom trenutku jedno od najrelevantnijih međunarodnih istraživanja u domenu obrazovnih nauka (Baucal, 2012;Baumert, Blum, & Neubrand, 2002;Gustafsson, 2008;OECD, 2010). Osnovni cilj PISA studije je da se sistematski prati u kojoj meri su učenici na uzrastu 15 godina razvili tri ključne kompetencije (čitalačka, naučna i matematička pismenost).…”
Section: Uvodunclassified
“…Međunarodni program procene učeničkih postignuća PISA (Programme for International Student Assessment) je u ovom trenutku jedno od najrelevantnijih međunarodnih istraživanja u domenu obrazovnih nauka (Baucal, 2012;Baumert, Blum, & Neubrand, 2002;Gustafsson, 2008;OECD, 2010). Osnovni cilj PISA studije je da se sistematski prati u kojoj meri su učenici na uzrastu 15 godina razvili tri ključne kompetencije (čitalačka, naučna i matematička pismenost).…”
Section: Uvodunclassified
“…This thus constitutes a restriction when interpreting the validity of the construct. However, the TIMSS data offer a lot of information and the quality is excellent in many respects (Gustafsson, 2008), although the complexity, the lack of control of the data and the loss of key variables should be taken into account when performing secondary analysis (Bryman, 2004).…”
Section: Hypothesised Measurement Model For Instructional Modesmentioning
confidence: 99%
“…However, aggregation of data brings other advantages as well. For example, mechanisms that, at the individual level, are responsible for reverse causality, such as compensatory resource allocation, are unlikely to be present at the country level (Gustafsson 2008). Aggregated data also have the advantage of not being as severely influenced by errors of measurement, compared to individual data.…”
Section: Using the Difference In Differences Approachmentioning
confidence: 99%